Study Routing Metrics Based on OPRM for Wireless Sensor Networks

Article Preview

Abstract:

Wireless sensor network (WSN) consists of tiny nodes with sensing, actuating, computation, wireless communications capabilities. Because of node's limited energy, the energy control Routing metric is becoming an important research topic, this paper firstly makes a summary to the existing routing metrics, accordingly analyzes that it is deficient to design routing protocols for wireless sensor networks based existing routing metric. Secondly, finds the several key characteristics of wireless sensor networks communication link. Finally, the energy control routing metric is proposed in the paper and this routing metric is adopted to improve the traditional directed diffusion routing protocol. Simulation results show that the optimization transmits power can reduce lots of power consumptions, which will meet to industrial requirements.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 121-122)

Pages:

651-656

Citation:

Online since:

June 2010

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Shunfeng Cheng; Kwok Tom; Thomas, L.; A wireless sensor system for prognostics and health management, IEEE Sensors Journal [J], 2010, 10(4): 856-862.

DOI: 10.1109/jsen.2009.2035817

Google Scholar

[2] Kyong-Tak Cho; Saewoong Bahk. Duty cycle optimization for a multi hop transmission method in wireless sensor networks, IEEE Communications Letters[J], 2010, 3. 3(14): 269-271.

DOI: 10.1109/lcomm.2010.03.091809

Google Scholar

[3] Li Hong, Li Guang-Hui, Feng Hai-Lin, Fault-tolerant routing in wireless sensor networks with redundant cluster-heads [J], Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2009, 41(1): 80-85.

Google Scholar

[4] Zhu, Mengxia; Ding, Song; Wu, Qishi; Brooks, R. R; Fusion of threshold rules for target detection in wireless sensor networks, ACM Transactions on Sensor Networks[J], 2010, 2. 6(2): 154-167.

DOI: 10.1145/1689239.1689248

Google Scholar

[5] Zhang, Guang-Sheng; Guo, Yuan-Bo2; Xu, Zhen-Yang; Dou, Wen-Hua, A hop-adaptive routing algorithm for wireless sensor and actor networks, Tien Tzu Hsueh Pao/Acta Electronica Sinica[J], 2010, 1. 1(38): 13-17.

Google Scholar

[6] Jerry Z., Ramesh G. Understanding packet delivery performance in dense wireless sensor networks[A]. In: Proceedings of SenSys'03[C]. ACM Press, Los Angeles, California, USA, 2003, 1-13.

Google Scholar

[7] Hu Y. C., Johnson D. B. Design And Demonstration Of Live Audio And Video Over Multi-hop Wireless Ad Hoc Networks [A]. In: Proceedings of MILCOM'02[C]. IEEE Press, 2002, Vol. 2, 1211- 1216.

DOI: 10.1109/milcom.2002.1179651

Google Scholar

[8] Douglas S. J., De C., Daniel A., John B., Robert M. A High-Throughput Path Metric for Multi-Hop Wireless Routing [A]. In: Proceedings of MOBICOM'03[C], ACM Press, San Diego, CA, USA. 2003, 134-146.

Google Scholar

[9] Yu Kun-shi; Liu You-yuan; Cao Xiao-hua; Qi Chang-pu, The platform design of wireless sensor network with CC2420[J], Microcomputer Information, 2008, 35, 107-119.

Google Scholar

[10] Bhatti, S.; Carlson, J.; Dai, H.; etc; MANTIS OS: an embedded multithreaded operating system for wireless micro sensor platforms[J], Mobile Networks and Applications, 2005, 4(10), 563-579.

DOI: 10.1007/s11036-005-1567-8

Google Scholar

[11] M. Zuniga , B. Krishnamachari. Analyzing the transitional region in low power wireless links.

Google Scholar

[12] Khan, S. A; Mulvaney, R. L; Hoeft, R.G. Direct-diffusion methods for inorganic-nitrogen analysis of soil. Soil Science Society of America Journal[J], 2000, 5. 3(64): 1083-1089.

DOI: 10.2136/sssaj2000.6431083x

Google Scholar